Analytics

Can handle complex transformations, multi-step operations, aggregating data from different data sources or data types and can load in parallel to many multiple destinations.

Descriptive Analytics
  • Can capture and transform the data from multiple heterogeneous sources like Excel, SQL, Oracle, Notepad, CSV and OData.
  • Can handle complex transformations, multi-step operations, aggregating data from different data sources or data types.
  • Data can be loaded in parallel to many varied destinations
Data Warehouse
  • Allows business users to quickly access critical data from some sources all in one place.
  • Helps to reduce total turnaround time for analysis and reporting.
  • Stores a large amount of historical data. This helps users to analyze different time periods and trends to make future predictions.
OLAP Cube
  • Cube allows the data to be analyzed in the most logical way.
  • Supports hierarchical data analyzation
  • Helps you to avoid resource contention with the source system
  • It allows users to analyze data with a host of tools, including Excel/SSRS/Power-BI/Tableau.
End User Reporting
  • Non-technical users can do their own data analysis.
  • You can stop guessing and start making data-driven decisions.
  • Offer the dashboards with graphic data visualizations in an effective manner to easily and quickly analyze it to make business decisions.
  • Can enable information to flow upward, downward, or laterally, reaching the intended recipient in a timely manner